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For me the main benefit is what I would describe as 'rubber ducking discovery', using it as a learning tool I am able to try out different problem domains that

For me the main benefit is what I would describe as 'rubber ducking discovery', using it as a learning tool I am able to try out different problem domains that are completely out of my area, things like: - Web scrapping - Web crawler - Trying out Rust - Trying out pytorch and training models for computer vision problems This is all stuff that would have taken me several weekends of reading docs and geting familiar with libraries. Now it suddenly becomes a few hours because the discovery of the right tool is semi-instant and although the code it provides is often wrong it generally puts you in the right direction. My intuition is that it's a lot better at outputting viable Python and JS code than other languages, perhaps there is bias in how much data of other languages it has access to.

tcbyrd 4y ago
Rubber ducking discovery is a very good description of how I use it too. I don’t necessarily care if it’s 100% right, but it feels like it short circuits my “time to solution” by a significant percentage over hunting around through endless blog posts and SO answers. ChatGPT fills the gap between an idea and getting the LSP to tell me what will actually work. Earlier today it totally hallucinated a built-in function, but when I started typing it out, the LSP kicked in and I could tell what the GPT was “thinking”. Before that I didn’t even know what the name of the function was that would do what I want, but it was close enough that it stopped me from having to parse the reference docs on my own.